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Official Verified productivity Safety 4/5

research

Deep research via Gemini CLI — runs in background sub-agent so you don't burn your Claude tokens.

Why use this skill?

Conduct comprehensive, deep-dive research without burning your Claude tokens. This OpenClaw skill uses Gemini CLI to generate long-form reports locally.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/pors/research
Or

What This Skill Does

The Research skill leverages the power of the Gemini CLI to perform exhaustive, deep-dive investigations on virtually any subject. By spawning a background sub-agent to handle the heavy lifting, it offloads complex, token-intensive research tasks away from your primary Claude-based session. This allows for massive, long-form content generation while preserving your primary agent's token limits and focus. The skill prompts the user for context, spawns a focused sub-agent, and compiles a comprehensive, multi-section report saved directly to your local file system.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/pors/research

Ensure that you have the Gemini CLI configured and authorized on your system, as this skill utilizes your personal Google AI subscription keys to function.

Use Cases

  • Academic & Technical Research: Quickly generate massive technical deep dives into niche programming languages, frameworks, or scientific theories.
  • Market Analysis: Gather data on competitors, emerging industry trends, and technical benchmarks for business decision-making.
  • Content Creation: Research complex topics to build a robust knowledge base for drafting blog posts, white papers, or technical documentation.
  • Learning & Skill Acquisition: Create structured, long-form curricula for self-teaching complex engineering or creative topics.

Example Prompts

  1. "Research: I'm trying to decide between using PostgreSQL or MongoDB for a new high-frequency financial tracking app. What are the pros, cons, and performance bottlenecks for each?"
  2. "Research: Can you conduct a deep dive into the current state of Retrieval-Augmented Generation (RAG) for enterprise document processing? Focus on common pitfalls and current state-of-the-art vector database strategies."
  3. "Research: I need to write a white paper on the ethical implications of using large language models in healthcare. Please cover privacy, bias, and regulatory frameworks."

Tips & Limitations

  • Context is Key: Always provide as much initial context as possible to the research sub-agent. The more you specify about your goals and target audience, the higher the quality of the generated report.
  • Resource Management: Because this tool generates 500+ line reports, ensure you have sufficient disk space in your ~/clawd/research/ directory.
  • Cleanup: Periodically audit your ~/clawd/research/ directory to remove older projects, as the sub-agent keeps all generated reports on your local machine by default.
  • Safety: While this skill runs via the Gemini API, treat all output as a starting point for human verification, especially for technical or critical decision-making tasks.

Metadata

Author@pors
Stars1217
Views1
Updated2026-02-20
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-pors-research": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#research#gemini#automation#knowledge-management#productivity
Safety Score: 4/5

Flags: file-write, file-read, external-api, code-execution